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DOI 10.1002/ejhf.3705

Медицинская библиотека · European journal of heart failure · 2025

Employment of artificial intelligence for an unbiased evaluation regarding the recovery of right ventricular function after mitral valve transcatheter edge-to-edge repair.

Fortmeier Vera, Hesse Amelie, Trenkwalder Teresa, Tokodi Márton, Kovács Attila, Rippen Elena, Tervooren Jule, Fett Michelle, Harmsen Gerhard, Yuasa Shinsuke, Kühlein Moritz, Covarrubias Héctor Alfonso Alvarez, von Scheidt Moritz, Roski Ferdinand, Gerçek Muhammed, Schuster Tibor, Mayr N Patrick, Xhepa Erion, Laugwitz Karl-Ludwig, Joner Michael, Rudolph Volker, Lachmann Mark

СтатьяМногоцентровое исследованиеПеревод в очереди

Аннотация

AIMS: Long-standing severe mitral regurgitation (MR) leads to left atrial (LA) enlargement, elevated pulmonary artery pressures, and ultimately right heart failure. While mitral valve transcatheter edge-to-edge repair (M-TEER) alleviates left-sided volume overload, its impact on right ventricular (RV) recovery is unclear. This study aims to use both conventional echocardiography and artificial intelligence to assess the recovery of RV function in patients undergoing M-TEER for severe MR.

METHODS AND

RESULTS

The change in RV function from baseline to 3-month follow-up was analysed in a dual-centre registry of patients undergoing M-TEER for severe MR. RV function was conventionally assessed by measuring the tricuspid annular plane systolic excursion (TAPSE). Additionally, RV function was evaluated using a deep learning model that predicts RV ejection fraction (RVEF) based on two-dimensional apical four-chamber view echocardiographic videos. Among the 851 patients who underwent M-TEER, the 1-year survival rate was 86.8%. M-TEER resulted in a significant reduction in both LA volume and estimated systolic pulmonary artery pressure (sPAP) levels (median LA volume: from 123 ml [interquartile range, IQR 92-169 ml] to 104 ml [IQR 78-142 ml], p < 0.001; median sPAP: from 46 mmHg [IQR 35-58 mmHg] to 41 mmHg [IQR 32-54 mmHg], p = 0.036). In contrast, TAPSE remained unchanged (median: from 17 mm [IQR 14-21 mm] to 18 mm [IQR 15-21 mm], p = 0.603). The deep learning model confirmed this finding, showing no significant change in predicted RVEF after M-TEER (median: from 43.1% [IQR 39.1-47.4%] to 43.2% [IQR 39.2-47.2%], p = 0.475).

CONCLUSIONS

While M-TEER improves left-sided haemodynamics, it does not lead to significant RV function recovery, as confirmed by both conventional echocardiography and artificial intelligence. This finding underscores the importance of treating patients before irreversible right heart damage occurs.

Для цитирования: Fortmeier Vera, Hesse Amelie, Trenkwalder Teresa, Tokodi Márton, Kovács Attila, Rippen Elena, Tervooren Jule, Fett Michelle, Harmsen Gerhard, Yuasa Shinsuke, Kühlein Moritz, Covarrubias Héctor Alfonso Alvarez, von Scheidt Moritz, Roski Ferdinand, Gerçek Muhammed, Schuster Tibor, Mayr N Patrick, Xhepa Erion, Laugwitz Karl-Ludwig, Joner Michael, Rudolph Volker, Lachmann Mark. Employment of artificial intelligence for an unbiased evaluation regarding the recovery of right ventricular function after mitral valve transcatheter edge-to-edge repair.. European journal of heart failure. 2025. DOI: 10.1002/ejhf.3705.

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